import torch
import torchvision

# 常量定义
ROOT = "G:"

# PHYSCOUNT = 13                          # 物理量数量
# TRANS_METHOD = 13003                    # 物理量转换方法

PHYSCOUNT = 21                          # 物理量数量
TRANS_METHOD = 21002                    # 物理量转换方法 (21001)

OUTPUT_PATH = "E:\Temp"                 # 预测数据输出路径

L1_FOLDER_RAIN = "R24"                  # 降水实况文件夹
L1_FOLDER_STATION = "Station"           # 站点数据顶层文件夹
L1_FOLDER_TRAIN = "XTrain"              # 训练数据顶层文件夹
L1_FOLDER_PREDICT = "ZPredict"          # 预测数据顶层文件夹


means = (0.485, 0.456, 0.406)
stds = (0.229, 0.224, 0.225)
TRANSFORM_COMPOSE = torchvision.transforms.Compose([
    # 设定标准化值 (平均值，标准差)
    # torchvision.transforms.Normalize(means, stds),
])
